Question 5 - 10 marks (Equity Options) It is January 2nd‚ 2014 and Google Inc. (GOOG) stock is currently trading on the Nasdaq at a price of $1‚105.00 US dollars. Using the information provided below‚ please answer the following questions: (Note: ’Last’ means the last traded price of the put or call option. Use this number for your calculations). Call options: Put options: a) Based on the current stock price‚ which one of the two options is in the money? by how much? (1 marks) b)
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Comparing Trudeau’s essay to Francois Rocher’s The Quebec-Canada Dynamic or the Negation of the Ideal of Federalism‚ there are both similarities and differences in their construction. Rocher‚ states that the interpretation of the direction of the Canadian federalism greatly depends on the origin of scholar who writes it (312). Quebec scholars‚ argue that the system has forgotten its designed purpose and in turn aims to centralize power within federal authority (Rocher 312). While English speaking
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References: * New Business Dictionary.com * Statistics of Business Economics 7th ed. Cinannati South Western College Publishing 1999 * Encyclopedia of Business * Bovas Abraham‚ Johannes Ledolte ‚ statistical methods for Forecasting * Anderson‚ David R.‚ Dennis J. Sweeney‚ and Thomas A. Williams ( An Introduction to Management Science; Quantitative Approaches to Decision Making 8th ed. Minneapolis/ St Paul West Publishing 1997
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The article “Ticket to Paradise” tells the story of Francois Nars‚ a famous make up artist‚ was fascinated with the Polynesian culture and islands decided to buy Motu Tane to create his own personalized paradise but still using the Polynesian themes that first inspired him. In the Vogue article‚ Nars interprets
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TIME SERIES MODELS Time series analysis provides tools for selecting a model that can be used to forecast of future events. Time series models are based on the assumption that all information needed to generate a forecast is contained in the time series of data. The forecaster looks for patterns in the data and tries to obtain a forecast by projecting that pattern into the future. A forecasting method is a (numerical) procedure for generating a forecast. When such methods are not based upon
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Time Series Prediction of Earthquake Input by using Soft Computing Hitoshi FURUTA‚ Yasutoshi NOMURA Department of Informatics‚ Kansai University‚ Takatsuki‚ Osaka569-1095‚ Japan nomura@sc.kutc.kansai-u.ac.jp Abstract Time series analysis is one of important issues in science‚ engineering‚ and so on. Up to the present statistical methods[1] such as AR model[2] and Kalman filter[3] have been successfully applied‚ however‚ those statistical methods may have problems for solving highly nonlinear
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Course Outline for Spring 2012‚ Statistics 153: Introduction to Time Series January 16‚ 2012 • Instructor: Aditya Guntuboyina (aditya@stat.berkeley.edu) • Lectures: 12:30 pm to 2 pm on Tuesdays and Thursdays at 160 Dwinelle Hall. • Office Hours: 10 am to 11 am on Tuesdays and Thursdays at 423 Evans Hall. • GSI: Brianna Heggeseth (bhirst@stat.berkeley.edu) • GSI Lab Section: 10 am to 12 pm OR 12 pm to 2 pm on Fridays at 334 Evans Hall (The first section will include a short Introduction
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Faculty of Engineering & Computing Laboratory Report Title of Experiment: Series and Parallel Circuits Date Given: January 28‚ 2013 AIM: To investigate the circuits to tell whether the resistors are in parallel or in series also to determine the internal resistance of a 1.5V cell. THEORY: In this experiment it was expected of the experimenter to have a basic knowledge of circuits in both aspects theoretically and practically. A basic circuit comprises of a cell or power supply
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Secondary Research Time Series Analysis VARIABLE FACTOR THAT INCREASING MALAYSIA GDP Prepared by: Dina Maya Avinati Wery Astuti Faculty of Business UNIVERSITAS SISWA BANGSA INTERNATIONAL Mulia Business Park‚ JL. MT. Haryono Kav. 58-60 Pancoran- South Jakarta Page | 1 CONTENT I. Introduction 1.1 Back Ground of Study 1.2 Problem 1.3 Research Problem 1.4 Research Objective 1.5 Scope and Limitation 1.6 Significant of Study II. Literature Review
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.2.3 Time series models Time series is an ordered sequence of values of a variable at equally spaced time intervals. Time series occur frequently when looking at industrial data. The essential difference between modeling data via time series methods and the other methods is that Time series analysis accounts for the fact that data points taken over time may have an internal structure such as autocorrelation‚ trend or seasonal variation that should be accounted for. A Time-series model explains
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